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1. Extract the Huffman tree then the codes for the following string: "streets are stone stars are not"   2. Extract the Shannon Fano tree then the codes for the following Characters with frequencies:                     C= 50, A= 39, T= 18, D= 49, O= 35, G= 24    3. Encode the following using RLE : 1111111112222222333333333344411112222444555551111111   4.Encode "Went." Using arithmetic coding with the following probability  e -> 0.3, n -> 0.3, t-> 0.2, w-> 0.1, '.' -> 0.1.    5. Encode the following string using LZW "wabbawabba"

1. Extract the Huffman tree then the codes for the following string: "streets are stone stars are not"   2. Extract the Shannon Fano tree then the codes for the following Characters with frequencies:                     C= 50, A= 39, T= 18, D= 49, O= 35, G= 24    3. Encode the following using RLE : 1111111112222222333333333344411112222444555551111111   4.Encode "Went." Using arithmetic coding with the following probability  e -> 0.3, n -> 0.3, t-> 0.2, w-> 0.1, '.' -> 0.1.    5. Encode the following string using LZW "wabbawabba"

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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1. Extract the Huffman tree then the codes for the following string:

"streets are stone stars are not"

 

2. Extract the Shannon Fano tree then the codes for the following Characters with frequencies:

                    C= 50, A= 39, T= 18, D= 49, O= 35, G= 24

  

3. Encode the following using RLE :

1111111112222222333333333344411112222444555551111111

 

4.Encode "Went." Using arithmetic coding with the following probability

 e -> 0.3, n -> 0.3, t-> 0.2, w-> 0.1, '.' -> 0.1.

 

 5. Encode the following string using LZW

"wabbawabba"

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